Business Analytics & Intelligence Manager

The Walt Disney Company•Glendale, CA

4d•Onsite

About The Position

The Licensing Analytics team at Disney Consumer Products is looking for a Business Analytics & Intelligence Manager. This team's mission is to leverage data assets and quantitative techniques to uncover insights about licensing partners, retailers, and consumers, ultimately shaping Disney Consumer Products offerings. This role is based onsite in Glendale, CA and reports to the Director, Licensing Analytics.

Requirements

5+ years of experience in analytical roles
Experience leading the lifecycle of analytic products; from requirements gathering to data acquisition to presentation of results, and automation (where applicable)
Proficient project management skills; ability to organize and manage projects of varying complexity and length
Takes initiative and is a self-starter, with the ability to lead projects from inception to completion
Advanced user of Tableau, Power BI, and/or other data visualization software
Time-management skills, with ability to prioritize multiple requests and communicate status to partners
Strong written and verbal communication skills, with the ability to communicate complex ideas and develop concise recommendations
Comfort in working in ambiguity to determine the questions that should be answered and the approach and partners needed to get there
Experience with working and curating structured and unstructured data
Technical proficiency in data pipeline technologies and ETL tools and languages such as SQL, SSIS, Knime, Alteryx, Tableau Prep
Technical proficiency in database technologies such as Snowflake, SQL Server
Technical proficiency in Data Visualization and Consumption Tools — primary proficiency in Tableau required; familiarity with Microstrategy, Power BI, or Business Objects a plus
Technical proficiency in data warehouse and data lake architecture
Technical proficiency in scripting languages such as Snowscript, Javascript, VBA, Python

Nice To Haves

Experience with external syndicated data platforms such as Circana, Euromonitor, and Statista — ability to extract, interpret, and activate third-party market and category data is strongly preferred
Experience working with large scale retail systems data
Experience working with cloud platforms/technologies
Experience with machine learning

Responsibilities

Support the Retail & Marketing teams as the primary analytics lead for developing and facilitating analysis linked to owned retail and licensee data, enhanced by industry & macro insights.
Facilitate analyses and projects across cross-functional teams, providing direct and indirect leadership to analytics and data partners.
Support the evaluation of product performance, consumer & macro-economic trends, and industry shifts to inform strategic insights.
Drive the technical transformation of the team by executing and evolving a technology roadmap focused on automating and structuring data loads and mapping.
Deploy self-service reports, define a data architecture & governance strategy, and optimize processes against business needs.
Identify appropriate external data sources, reconcile data sets, identify proxies, and clearly communicate assumptions behind analyses, especially when dealing with limited data availability and inconsistency.
Create compelling dashboards and intelligence tools using visualization techniques for easy interpretation of commercial performance metrics.
Code backend processes to quickly access needed data and develop decks that synthesize complex data into a compelling story.
Translate business and analytical needs into data requirements to support timely data delivery, routine reporting, and in-depth analysis.
Develop fully automated data pipelines and analytical tools to minimize time spent on data gathering and preparation.
Collaborate closely with Technology partners to enhance data quality and governance.
Leverage data analytics and visualization skills to conduct in-depth analysis with enhanced data streams and quality.
Build and maintain the data foundation that enables self-service analytics, AI-driven insights, and scalable reporting.
Stay up to date with industry trends in robotic automation & AI / ML to identify areas for process improvements.
Develop easy-to-use tools and share best practices with peers to solve problems efficiently and effectively.
Partner with IT to systemize the planning process leveraging data from disparate sources.
Be flexible with changing business needs and adaptable with work requests.